Stable fixed points of combinatorial threshold-linear networks
DOI10.1016/j.aam.2023.102652zbMath1530.37064arXiv1909.02947OpenAlexW2971423343MaRDI QIDQ6138049
Katherine Morrison, Carina Curto, Jesse T. Geneson
Publication date: 16 January 2024
Published in: Advances in Applied Mathematics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.02947
cliquesCollatz-Wielandt formulaattractor neural networksstable fixed pointsthreshold-linear networks
Fixed points and periodic points of dynamical systems; fixed-point index theory; local dynamics (37C25) Stability theory for smooth dynamical systems (37C75) Dynamical systems involving maps of trees and graphs (37E25) Boundary value problems on graphs and networks for ordinary differential equations (34B45)
Cites Work
- Unnamed Item
- The worst-case time complexity for generating all maximal cliques and computational experiments
- The maximum number of cliques in dense graphs
- Flexible memory networks
- Fixed Points of Competitive Threshold-Linear Networks
- Modeling Brain Function
- Selectively Grouping Neurons in Recurrent Networks of Lateral Inhibition
- Optimal control problems for a class of non-linear evolution equations
- Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks
- Sequential Attractors in Combinatorial Threshold-Linear Networks
- Neural networks and physical systems with emergent collective computational abilities.
- Encoding Binary Neural Codes in Networks of Threshold-Linear Neurons
- Pattern Completion in Symmetric Threshold-Linear Networks
- Rat Prefrontal Cortex Inactivations during Decision Making Are Explained by Bistable Attractor Dynamics
- On cliques in graphs
- On cliques in graphs
- On cliques in graphs
- Graph Rules for Recurrent Neural Network Dynamics
This page was built for publication: Stable fixed points of combinatorial threshold-linear networks
